Stanford Root

Schedule

Stanford Root

Schedule

DATASCI 120

Data Narratives

UNITS:3
GRADING:Letter or Credit/No Credit
LEVEL:Undergrad
GER:WIM

The class allows students to grow their ability to communicate ideas and insights with data. There are many components of a well-crafted narrative based on data---from a discussion of data sources to visualization, and from pattern detection to generalizable conclusions---which we explore in sequence across the quarter. The class does not introduce advanced data analysis techniques. It rather focuses on the essential elements of an inquiry conducted with data and places a special emphasis on how to record and communicate these. Each student enrolled in class needs to identify a dataset and a question that they are going to explore. As we examine the different components of a data inquiry, the students will carry out a corresponding analysis/writing assignment on the data they have identified, gradually building material for the narrative that will constitute their final paper. This WIM course is required for Data Science majors who are fulfilling their capstone requirement with independent research, DATASCI DATASCI 193, DATASCI 194_, DATASCI DATASCI 190, or the Notation in Science Communication. Prerequisite: STATS DATASCI 191 or equivalent. (WIM)

Syllabus for selected term:
View Spring 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 7491
0 / 20 enrolled
DAYS:Monday, Wednesday
TIME:1:30 PM – 2:50 PM
LOCATION:TBD
INSTRUCTOR:
Hwang, Jessica
3units

DATASCI 120: Data Narratives

3 units · Letter or Credit/No Credit · GER: WIM

The class allows students to grow their ability to communicate ideas and insights with data. There are many components of a well-crafted narrative based on data---from a discussion of data sources to visualization, and from pattern detection to generalizable conclusions---which we explore in sequence across the quarter. The class does not introduce advanced data analysis techniques. It rather focuses on the essential elements of an inquiry conducted with data and places a special emphasis on how to record and communicate these. Each student enrolled in class needs to identify a dataset and a question that they are going to explore. As we examine the different components of a data inquiry, the students will carry out a corresponding analysis/writing assignment on the data they have identified, gradually building material for the narrative that will constitute their final paper. This WIM course is required for Data Science majors who are fulfilling their capstone requirement with independent research, DATASCI 193, DATASCI 194_, DATASCI 190, or the Notation in Science Communication. Prerequisite: STATS 191 or equivalent. (WIM)

Offered in Spring 2027 at Stanford University.

Spring 2027 sections

  • Lecture — Monday Wednesday 1:30 PM – 2:50 PM — Hwang, Jessica (Undergrad)

More DATASCI courses

  • DATASCI 112: Principles of Data Science
  • DATASCI 154: Data Science for Social Impact (COMM 140X, EARTHSYS 153, ECON 163, MS&E 134, POLISCI 154, PUBLPOL 155, SOC 127)
  • DATASCI 156: Thinking and Making with Data (ENGLISH 156A)
  • DATASCI 161: Causality, Decision Making and Data Science (CS 171, ECON 115)
  • DATASCI 190: The Data Science Experience
  • DATASCI 192A: Data Science Practicum I
  • DATASCI 192B: Data Science Practicum II
  • DATASCI 193: Applied Artistic and Cultural Analysis
  • DATASCI 194B: Data Science for Computational Molecular Biology (DATASCI 294B)
  • DATASCI 194C: Driving Innovation: Benchmarks, Competitions, and Challenge Problems in Machine Learning and Beyond (DATASCI 294C)
  • DATASCI 194L: Data Science and the Science of Learning (DATASCI 294L, EDUC 139, PSYCH 139)
  • DATASCI 194N: Data Science for Neuroscience (DATASCI 294N, PSYCH 294N)

All DATASCI courses · All departments